Comments (1)
Hi @Spencerai
I do not consider this requested feature very relevant at this stage of the development. Many modellers apply binning to the whole dataset before splitting the data for model training. However, you can create a binning table using the test data with the BinningTable
class: http://gnpalencia.org/optbinning/binning_tables.html.
If you would like to add extra functionalities, I welcome PRs.
Thanks,
Guillermo
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Related Issues (20)
- Feature Request : 2D Binning when one of the features is missing. HOT 1
- RuntimeWarning: invalid value encountered in cast n_zeros = np.empty(n_bins).astype(np.int64) HOT 6
- Fast, greedy solver? HOT 2
- Shapely values on Scorecard object HOT 4
- Option to force continuous target type in BinningProcess HOT 1
- python setup.py install not completing HOT 2
- MulticlassBinningTable WoE HOT 1
- BinningProcess in Pipeline and cross-validation (GridSearchCV) HOT 4
- Extract p-value information from the BinningTable object HOT 1
- Negative values can lead to Scorecard failure HOT 2
- Error: Fixed user_splits are removed because produce pure prebins HOT 2
- Keep pandas.DataFrame index in `_transform` method HOT 3
- Get IV of each feature after applying MulticlassOptimalBinning in multiclass dataset (>2 labels) HOT 6
- Transform calculates WoE=0 for special_codes HOT 2
- WoE monotonicity prediction with ML HOT 1
- For different special values ,how to assign different metric_special value? HOT 1
- Count % on WOE plot HOT 2
- plot savefig issue HOT 1
- type_of_target are not proper to decide multiclass vs continuous HOT 2
- Randomness in the binning : Getting Different Bins each time HOT 7
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